{"uid":"cap_EDE8CuQuQ0eT45-4rg6Nq","slug":"accelerometer-snapshot-by-date-a169c016","name":"Accelerometer Snapshot by Date","description":"A specific dated snapshot (YYYY-MM-DD, ids listed free at /) of the 129-series AI-progress and technology pull: frontier benchmark scores, compute trends, AGI prediction-market odds, model pricing, AI stocks, energy, space, robotics, research output. Same per-source shape as /feed (latest, previous, % change, source URL). Use it to compare dates yourself, or call /delta to get the comparison computed. No composite score. Unknown id -> 404.","url":"https://x402-accelerometer-feed.fly.dev/snapshots/:id","method":"GET","headers":{},"bodySchema":{"type":"object","$schema":"https://json-schema.org/draft/2020-12/schema","required":["input"],"properties":{"input":{"type":"object","required":["type","method"],"properties":{"type":{"type":"string","const":"http"},"method":{"enum":["GET"],"type":"string"},"pathParams":{"type":"object","required":["id"],"properties":{"id":{"type":"string","description":"reading date YYYY-MM-DD, from GET /"}}},"queryParams":{"type":"object","properties":{}}},"additionalProperties":false},"output":{"type":"object","required":["type"],"properties":{"type":{"type":"string"},"example":{"type":"object","required":["schema_version","snapshot_id","run_at","n_sources","sources"],"properties":{"stub":{"type":"boolean"},"run_at":{"type":"string","description":"ISO timestamp the pull ran"},"domains":{"type":"array","items":{"type":"string"}},"sources":{"type":"array","items":{"type":"object","required":["id","metric","domain","unit","latest","latest_date"],"properties":{"id":{"type":"string","description":"registry key, e.g. epoch.training_flop_max"},"url":{"type":["string","null"]},"unit":{"type":"string"},"access":{"type":["string","null"]},"domain":{"type":"string"},"latest":{"type":"number"},"metric":{"type":"string"},"cadence":{"type":["string","null"]},"n_points":{"type":"integer"},"previous":{"type":["number","null"]},"confidence":{"type":"string"},"first_date":{"type":"string"},"latest_date":{"type":"string"},"previous_date":{"type":["string","null"]},"signal_quality":{"type":"string","description":"strong | moderate | weak | noisy"},"delta_pct_vs_previous":{"type":["number","null"]}}}},"composite":{"type":"null","description":"no cross-source composite is offered"},"n_sources":{"type":"integer"},"snapshot_id":{"type":"string","description":"YYYY-MM-DD of the pull"},"schema_version":{"type":"string"}}}}}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.005","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.005/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.005","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.005","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_YhkdRQXpphcS1rG-cXLkU","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.005","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Retrieves a specific historical dated snapshot of 129 AI-progress and technology time series including benchmark scores, compute trends, AGI prediction markets, model pricing, AI stocks, energy, space, robotics, and research output.","exampleAgentPrompt":"Pull the Accelerometer snapshot for 2024-11-15 so I can see the frontier benchmark scores, compute trends, and AGI prediction-market odds from that specific date.","exampleUseCases":[{"title":"Historical AI benchmark comparison","prompt":"Get me the Accelerometer snapshot from 2024-06-01 — I want to see what the frontier benchmark scores and model pricing looked like on that date so I can compare it to today."},{"title":"Tracking AGI prediction market odds over time","prompt":"Fetch the Accelerometer snapshot for 2024-09-20 so I can check what the AGI prediction-market odds were on that day and how they compare to a later date."},{"title":"Researching historical compute trends","prompt":"Pull the Accelerometer data snapshot dated 2023-12-01 — I need to see the compute trends and research output metrics from that point in time for a retrospective analysis."}],"resultDescription":"Returns a structured snapshot object containing schema version, snapshot ID (YYYY-MM-DD), run timestamp, number of sources (up to 129), and an array of per-source records. Each source record includes metric name, domain, unit, latest value, latest date, previous value, previous date, percent change vs previous, signal quality (strong/moderate/weak/noisy), confidence, cadence, number of data points, and source URL. No composite cross-source score is provided. Returns 404 if the snapshot ID is not found.","failureModes":["404 if the snapshot ID (date) does not exist in the registry — valid IDs are listed at GET /","Malformed date format in path parameter causes request failure","Network or payment processing failure returns non-200 response","Stub snapshots may have incomplete source arrays"],"whenToPreferThis":"Use this endpoint when you need data from a specific historical date rather than the current latest snapshot. Prefer this over /feed when performing date-specific analysis or building a custom comparison between two dates manually. Use /delta instead if you want the system to compute the difference between two snapshots automatically. This endpoint is ideal for time-travel queries, historical audits, or populating a timeline of AI progress metrics.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-19T12:33:05.115Z","isFirstParty":false}